基于FAHP太阳能发电设备制造企业技术创新能力评价模型

21世纪国家竞争力的核心和动力是国家科技竞争力,而形成国家科技竞争力的主体是企业技术创新能力。因而,评价和分析企业技术创新能力具有重要的理论和现实意义。对于新能源发电设备制造企业来说,技术创新能力是企业的核心竞争力。本文通过建立太阳能发电设备制造企业技术创新能力的评价指标,采用FAHP方法确定各个指标的权重,并利用加权模糊逻辑推理法建立综合评价模型。     

粮食安全与农业结构调整水平的协整分析*——以广东省为例

[目的]实现我国粮食安全与农业结构调整之间(即粮食增产和农民增收)关系的协调,较长时间以来是学界、政界关注的重要议题,但定量分析两者之间内在依存关系的研究一直欠缺。[方法]文章采用协整分析及Granger因果关系检验方法,以广东为例,对我国粮食安全(用粮食总产量来衡量)与农业结构调整水平之间的协整性及因果关系进行了研究。[结果]广东粮食总产量与反映农业结构调整水平的3个指标之间均存在长期均衡关系,且农作物播种面积中粮食作物面积对广东粮食总产量影响最大,每下降1%,粮食总产量下降0. 659 548%。短期内,反映农业结构调整水平的3个指标对广东粮食总产量的影响均存在波动,但由短期偏离拉向长期均衡的牵动作用均较弱。Granger因果关系检验表明农业在国民经济中的比重、农作物播种面积中粮食作物面积早期对广东粮食总产量产生单向影响,但影响程度相对较弱。[结论]提出应从农业结构调整以外的因素着手提高我国粮食安全水平,并通过调整农业区域结构去缓解我国粮食供求市场的结构性矛盾。     

Bayesian network models for incomplete and dynamic data

Bayesian networks are a versatile and powerful tool to model complex phenomena and the interplay of their components in a probabilistically principled way. Moving beyond the comparatively simple case of completely observed, static data, which has received the most attention in the literature, in this paper, we will review how Bayesian networks can model dynamic data and data with incomplete observations. Such data are the norm at the forefront of research and in practical applications, and Bayesian networks are uniquely positioned to model them due to their explainability and interpretability.     

Moving beyond the mechanistic structures: The role of inclusive leadership in developing change‐oriented organizational citizenship behaviour

In this study, we explore the relationship between inclusive leadership and change‐oriented organizational citizenship behaviour (OCB) with the mediating roles of behavioural integrity and trust in leadership. Data were collected from 151 supervisor–subordinate dyads from small and medium enterprises in Pakistan. The results revealed that inclusive leadership is positively related to change‐oriented OCB. Our study reaffirms the indirect effect of the inclusive leadership on change‐oriented OCB via behavioural integrity and trust in leadership. Finally, the results supported the chain of causality: sequential mediation of behavioural integrity, and trust in leadership between inclusive leadership and change‐oriented OCB. Causal attribution theory is used to support the findings. Implications for theory and practice are discussed.     

Developments in Survey Research over the Past 60 Years: A Personal Perspective

Many developments have occurred in the practice of survey sampling and survey methodology in the past 60 years or so. These developments have been partly driven by the emergence of computers and the continuous growth in computer power over the years and partly by the increasingly sophisticated demands from the users of survey data. The paper reviews these developments with a main emphasis on survey sampling issues for the design and analysis of social surveys. Design‐based inference based on probability samples was the predominant approach in the early years, but over time, that predominance has been eroded by the need to employ model‐dependent methods to deal with missing data and to satisfy analysts' demands for survey estimates that cannot be met with design‐based methods. With the continuous decline in response rates that has occurred in recent years, much current research has focused on the use of non‐probability samples and data collected from administrative records and web surveys.     

Effectiveness of sequences of classroom training for welfare recipients: what works best in West Germany?

Sequences of active labour market programmes (ALMPs) may be part of an intensified activation strategy targeting hard-to-place unemployed individuals. Such sequences are very common among welfare recipients in Germany, but most studies only evaluate either single ALMPs or unemployed individuals’ first ALMP. I analyse the effects of different sequences of classroom training for West German men and women on different labour market outcomes. Using rich administrative data and a dynamic causal model, I can control for dynamic selection problems that occur during a sequence. The results show that two classroom trainings are more effective than two periods of welfare receipt in helping welfare recipients find regular employment, especially among West German women. Moreover, immediately assigning individuals to classroom training is more effective than waiting and assigning them to classroom training in the second period. However, in some cases, avoiding participation in multiple programmes is preferable.

Abbreviations: ALMP, active labour market programme; CIA, Conditional Independence Assumption; CSR, Common Support Requirement; DATET, dynamic average treatment effect on the treated; IEB, Integrated Employment Biographies; IPW, inverse probability weighting; LHG, UBII-Receipt History (Leistungshistorik Grundsicherung); MSB, mean standardized absolute bias; SUTVA, Stable Unit Treatment Value Assumption; UBII, unemployment benefit II; UBI, unemployment benefit I; WDCIA, Weak Dynamic Conditional Independence Assumption     

Does oligopolistic banking friction amplify small open economy's business cycles? Evidence from Australia

This paper studies financial friction arising from oligopolistic bank competition and its impacts on a small open economy's business cycles by applying imperfect competition and endogenous firm entry theory. Using Australian data, the estimated model implies a countercyclical mark up in lending rate that varies inversely with number of banks. Such bank sector has a distinct shock propagation mechanism that often amplifies business cycles, depending on the type of shock. Balance sheet effects appear different compared to competitive banks, due to strategic bank behaviour. Unlike previous estimated small open economy general equilibrium studies, the model can capture substantial international transmissions.     

Performance of methods to conduct mediation analysis with time-to-event outcomes

Previous studies have discouraged the use of the Cox proportional hazards (PH) model for traditional mediation analysis as it might provide biased results. Accelerated failure time (AFT) models have been proposed as an alternative for Cox PH models. In addition, the use of the potential outcomes framework has been proposed for mediation models with time-to-event outcomes. The aim of this paper is to investigate the performance of traditional mediation analysis and potential outcomes mediation analysis based on both the Cox PH and the AFT model. This is done by means of a Monte Carlo simulation study and the illustration of the methods using an empirical data set. Both the product-of-coefficients method of the traditional mediation analysis and the potential outcomes framework yield unbiased estimates with respect to their own underlying indirect effect value for simple mediation models with a time-to-event outcome and estimated based on Cox PH or AFT.     

How to Measure and Draw Causal Inferences with Patent Scope

Abstract

This paper presents an easy-to-use measure of patent scope that is grounded both in patent law and in the practices of patent attorneys. We validate our measure by showing both that patent attorneys’ subjective assessments of scope agree with our estimates, and that the behavior of patenters is consistent with it. Using our validation exercise, we find that previous measures of patent scope (i.e., the number of patent classes, the number of citations made by future patents, and the number of claims in a patent) are uninformative or misleading. To facilitate drawing causal inferences with our measure, we show how it can be used to create an instrumental variable, patent examiner scope toughness, which we also validate. We then demonstrate the power of this instrument by examining standard-essential patents. We show that an (exogenous) diminishment of patent scope leads to patents being much less likely to be declared standard essential.